A Gradient-Based Clustering for Multi-Database Mining

A Gradient-Based Clustering for Multi-Database Mining

Multinational corporations have multiple databases distributed throughout their branches, which store millions of transactions per day. For business applications, identifying disjoint clusters of similar and relevant databases contributes to learning the common buying patterns among customers and al...

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Bibliographic Details
Main Authors: Salim Miloudi, Yulin Wang, Wenjia Ding
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multi-database mining
graph clustering
dual gradient descent
quasi-convex optimization
similarity measure
Online Access:https://ieeexplore.ieee.org/document/9319232/

Internet

https://ieeexplore.ieee.org/document/9319232/

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